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It is a full-stack application and tool suite that enables you to turn any document, resource, or piece of content into a piece of data that any LLM can use as reference during chatting. This application runs with very minimal overhead as by default the LLM and vectorDB are hosted remotely, but can be swapped for local instances. | It provides all you need to build and deploy computer vision models, from data annotation and organization tools to scalable deployment solutions that work across devices. |
Atomically manage documents to be used in long-term-memory from a simple UI;
Each chat response contains a citation that is linked to the original content;
Simple technology stack for fast iteration;
Fully capable of being hosted remotely | Search, curate, and manage visual data;
Designed for ultra-fast labeling in the browser;
Tools to build accurate models;
Deploy custom and foundation models in minutes;
Manage annotation projects across multiple work streams |
Statistics | |
GitHub Stars 50.7K | GitHub Stars - |
GitHub Forks 5.3K | GitHub Forks - |
Stacks 11 | Stacks 5 |
Followers 14 | Followers 6 |
Votes 0 | Votes 0 |
Integrations | |

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It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.